FruitsMusic: A Real-World Corpus of Japanese Idol-Group Songs
Hitoshi Suda, Shunsuke Yoshida, Tomohiko Nakamura, Satoru Fukayama,, Jun Ogata

TL;DR
FruitsMusic is a detailed, annotated corpus of Japanese idol-group songs designed to improve singer diarization and music information retrieval techniques in real-world scenarios.
Contribution
This paper introduces FruitsMusic, a novel, richly annotated corpus of Japanese idol-group songs, and evaluates current diarization methods on this challenging real-world dataset.
Findings
Current methods show limited accuracy on FruitsMusic data.
Human performance exceeds automated diarization results.
FruitsMusic enables development of advanced singer recognition techniques.
Abstract
This study presents FruitsMusic, a metadata corpus of Japanese idol-group songs in the real world, precisely annotated with who sings what and when. Japanese idol-group songs, vital to Japanese pop culture, feature a unique vocal arrangement style, where songs are divided into several segments, and a specific individual or multiple singers are assigned to each segment. To enhance singer diarization methods for recognizing such structures, we constructed FruitsMusic as a resource using 40 music videos of Japanese idol groups from YouTube. The corpus includes detailed annotations, covering songs across various genres, division and assignment styles, and groups ranging from 4 to 9 members. FruitsMusic also facilitates the development of various music information retrieval techniques, such as lyrics transcription and singer identification, benefiting not only Japanese idol-group songs but…
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Taxonomy
TopicsAsian Culture and Media Studies · Computational and Text Analysis Methods
